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cs.LG2025
MarkTune: Improving the Quality-Detectability Trade-off in Model-Embedded LLM Watermarking
Yizhou Zhao, Zhiwei Steven Wu, Adam Block
Language model watermarking schemes fall into two broad categories: inference-time methods, which modify the decoding process at generation time, and model-embedded methods, which…
cs.LG2025
Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains
Shizheng Wen, Arsh Kumbhat, Levi Lingsch +4
The very challenging task of learning solution operators of PDEs on arbitrary domains accurately and efficiently is of vital importance to engineering and industrial simulations. D…